Data loss prevention for enterprise buyers
Asked as “data loss prevention platform”, and as “DLP tool”, on behalf of an enterprise B2B company. 47 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
68%
Clear leader
68Microsoft Purview DLP11Forcepoint DLP06Netskope DLP15others
68% of first choices, clear leader.
Since October 2026▲+11Since October 2026: 57% → 68%, +11 points. Inside the 11-point floor: within noise.Microsoft Purview DLP held the lead, +11 points on 57%, inside the 11-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Microsoft Purview DLP51%Clear leader▲+16Since October 2026: 35% → 51%, +16 points. Past the 11-point floor: movement.Standing →Mid-marketMicrosoft Purview DLP48%Clear leader▲+1Since October 2026: 47% → 48%, +1 point. Inside the 11-point floor: within noise.Standing →EnterpriseMicrosoft Purview DLP68%Clear leader▲+11Since October 2026: 57% → 68%, +11 points. Inside the 11-point floor: within noise.This page
Microsoft Purview DLP51%Clear leader▲+16Since October 2026: 35% → 51%, +16 points. Past the 11-point floor: movement.Standing →Mid-marketMicrosoft Purview DLP48%Clear leader▲+1Since October 2026: 47% → 48%, +1 point. Inside the 11-point floor: within noise.Standing →EnterpriseMicrosoft Purview DLP68%Clear leader▲+11Since October 2026: 57% → 68%, +11 points. Inside the 11-point floor: within noise.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Microsoft Purview DLP68%11%75endorsed leader▲+11Since October 2026: 57% → 68%, +11 points. Inside the 11-point floor: within noise.57% → 68%
Microsoft Purview DLP68%11%75endorsed leader▲+11Since October 2026: 57% → 68%, +11 points. Inside the 11-point floor: within noise.57% → 68%02
Forcepoint DLP11%22%65accepted challenger▼−4Since October 2026: 15% → 11%, −4 points. Inside the 11-point floor: within noise.15% → 11%
Forcepoint DLP11%22%65accepted challenger▼−4Since October 2026: 15% → 11%, −4 points. Inside the 11-point floor: within noise.15% → 11%03
Netskope DLP6%12%48accepted challenger▲+2Since October 2026: 4% → 6%, +2 points. Inside the 11-point floor: within noise.4% → 6%
Netskope DLP6%12%48accepted challenger▲+2Since October 2026: 4% → 6%, +2 points. Inside the 11-point floor: within noise.4% → 6%04
Zscaler Internet Access4%14%28accepted challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise.0% → 4%
Zscaler Internet Access4%14%28accepted challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise.0% → 4%05
Symantec Data Loss Prevention4%33%64criticized challenger▼−3Since October 2026: 7% → 4%, −3 points. Inside the 11-point floor: within noise.7% → 4%
Symantec Data Loss Prevention4%33%64criticized challenger▼−3Since October 2026: 7% → 4%, −3 points. Inside the 11-point floor: within noise.7% → 4%06
Fortra DLP2%12%24accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Fortra DLP2%12%24accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%07
Digital Guardian2%40%10criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Digital Guardian2%40%10criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%Show the six products at 0%, ordered by negative rate
13
Trellix DLP0%50%20criticized challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%
Trellix DLP0%50%20criticized challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%12
Palo Alto Networks Enterprise DLP0%17%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Palo Alto Networks Enterprise DLP0%17%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%08
Proofpoint Enterprise DLP0%11%35accepted challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%
Proofpoint Enterprise DLP0%11%35accepted challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%09
Cyberhaven0%8%25accepted challenger▼−6Since October 2026: 6% → 0%, −6 points. Inside the 11-point floor: within noise.6% → 0%
Cyberhaven0%8%25accepted challenger▼−6Since October 2026: 6% → 0%, −6 points. Inside the 11-point floor: within noise.6% → 0%10
Nightfall AI0%0%19accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Nightfall AI0%0%19accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%11
DoControl0%0%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
DoControl0%0%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
For buyers
Head to head
Microsoft Purview DLP vs Safetica ONEMicrosoft Purview DLP vs Teramind DLPMicrosoft Purview DLP vs Nightfall AI
Head-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.All twenty-eight head-to-head pages: the top eight products, each against each
Microsoft Purview DLP vs Netskope DLPMicrosoft Purview DLP vs CyberhavenMicrosoft Purview DLP vs Netwrix Endpoint ProtectorMicrosoft Purview DLP vs Proofpoint Enterprise DLPSafetica ONE vs Teramind DLPSafetica ONE vs Nightfall AISafetica ONE vs Netskope DLPSafetica ONE vs CyberhavenSafetica ONE vs Netwrix Endpoint ProtectorSafetica ONE vs Proofpoint Enterprise DLPTeramind DLP vs Nightfall AITeramind DLP vs Netskope DLPTeramind DLP vs CyberhavenTeramind DLP vs Netwrix Endpoint ProtectorTeramind DLP vs Proofpoint Enterprise DLPNightfall AI vs Netskope DLPNightfall AI vs CyberhavenNightfall AI vs Netwrix Endpoint ProtectorNightfall AI vs Proofpoint Enterprise DLPNetskope DLP vs CyberhavenNetskope DLP vs Netwrix Endpoint ProtectorNetskope DLP vs Proofpoint Enterprise DLPCyberhaven vs Netwrix Endpoint ProtectorCyberhaven vs Proofpoint Enterprise DLPNetwrix Endpoint Protector vs Proofpoint Enterprise DLP
One product takes 68% of first choices here, so the chart would put twelve markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Three products carry a negative rate above 25% in this category.
What they warned about
Five of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Mistral Small, DeepSeek V4 Flash, Qwen 3.7 Flash, Kimi K2, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Symantec Data Loss Prevention33%
21 of 64 labels negative · 14 of 14 models · 9 hard negative
“Legacy heavyweight DLP tools (older Symantec/CA/Blue Coat, older McAfee/Trellix, EMC RSA DLP, etc.) (due to steep learning curves, performance impacts, integration challenges, and high costs)” GLM 4.7 FlashX, negative prompt
Forcepoint DLP22%
14 of 65 labels negative · 11 of 14 models · 3 hard negative
“A critical security flaw in Forcepoint One DLP Client allows attackers to bypass vendor-implemented Python restrictions and execute arbitrary code on enterprise endpoints” Claude Haiku 4.5, negative prompt
Trellix DLP50%
10 of 20 labels negative · 10 of 14 models · 3 hard negative
“often seen as legacy-focused with gaps in modern cloud/AI detection, integration issues, and higher false positive rates” Grok 4.20, negative prompt
Microsoft Purview DLP11%
8 of 75 labels negative · 8 of 14 models · 1 hard negative
“Microsoft Purview DLP (due to negative sentiment shares, common DLP complaints, and perception as a suite component rather than a standalone, deeply configurable DLP solution)” GLM 4.7 FlashX, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
77 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 956 links across 201 sites, every framing counted. Ranked by the number of answers carrying the site or page. 33 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Strac37 answers · 53 citations · 12 models
vendor site · Check Point31 answers · 31 citations · 11 models
vendor site · Forcepoint25 answers · 35 citations · 12 models
vendor site · DoControl25 answers · 28 citations · 10 models
23 answers · 27 citations · 9 models
vendor site · Fortra23 answers · 27 citations · 12 models
vendor site · Netwrix21 answers · 21 citations · 11 models
vendor site · UnderDefense19 answers · 19 citations · 10 models
vendor site · Microsoft17 answers · 22 citations · 8 models
vendor site · Jazz17 answers · 21 citations · 9 models
vendor site · Fortra17 answers · 19 citations · 8 models
vendor site · Palo Alto Networks15 answers · 28 citations · 7 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
31 answers · 11 models
25 answers · 10 models
21 answers · 11 models
19 answers · 8 models
19 answers · 10 models
19 answers · 10 models
17 answers · 7 models
16 answers · 8 models
11 answers · 8 models
11 answers · 6 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best data loss prevention platform”, “data loss prevention platform”, “data loss prevention platforms”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Microsoft parent site Microsoft Purview DLP 68% | 68% | 215 | 2,240,000 | 403,136 | ||||
| Forcepoint forcepoint.com Forcepoint DLP 11% | 11% | 169 | 4,400 | 244 | 25,465 company | 52 | 2 | |
| Netskope netskope.com Netskope DLP 6% | 6% | 76 | 18,100 | 830 | 42,119 company | 27 | ||
| Zscaler parent site Zscaler Internet Access 4% | 4% | 71 | 60,500 | 3,104 | ||||
| Broadcom broadcom.com Symantec Data Loss Prevention 4% | 4% | 122 | 390 | 1 | 604,076 company | 0 | ||
| Fortra DLP fortra.com | 2% | 41 | 50 | 0 | 125,581 | $34 | 60 | |
| Netskope One Platform | 2% | |||||||
| Digital Guardian digitalguardian.com | 2% | 15 | 480 | 55 | 8 | |||
| Proofpoint parent site Proofpoint Enterprise DLP 0% | 0% | 64 | 27,100 | 1,488 | ||||
| Cyberhaven cyberhaven.com | 0% | 82 | 2,900 | 54 | 13,999 | 22 |
Google's top ten for the three searches hold 22 sites; 5 of them are among the sites the models cited here (checkpoint.com, forcepoint.com, paloaltonetworks.com, strac.io, underdefense.com). The first result for “best data loss prevention platform” is gartner.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best data loss prevention platform for an enterprise B2B company?”Paraphrase“Which DLP tool would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade data loss prevention platforms and how do they differ?”Budget-constrained“What is the best data loss prevention platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a data loss prevention platform. What should we look at?”Negative“Which data loss prevention platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Forcepoint DLPSymantec Data Loss PreventionChangedFortra DLPagainst: Symantec Data Loss PreventionMicrosoft Purview DLPno first choiceagainst: Forcepoint DLP, Symantec Data Loss Prevention
Four alternatives
Cyberhaven, Fortra DLP, Microsoft Purview DLP, Proofpoint Enterprise DLPFour alternatives
CrowdStrike Falcon Data Protection, Forcepoint DLP, Microsoft Purview DLP, Netskope DLPFive alternatives
Cyberhaven, Microsoft Purview DLP, Netskope DLP, Proofpoint Enterprise DLP, Zscaler Internet AccessTwo alternatives
Fortra DLP, Proofpoint Enterprise DLPGPT-5.4 miniForcepoint DLPForcepoint DLP, Microsoft Purview DLPChangedMicrosoft Purview DLPMicrosoft Purview DLPMicrosoft Purview DLPagainst: Forcepoint DLP, Microsoft Purview DLP, Netskope DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Trellix DLP
Three alternatives
Microsoft Purview DLP, Proofpoint Enterprise DLP, Symantec Data Loss PreventionTwo alternatives
Netskope DLP, Symantec Data Loss PreventionSix alternatives
Forcepoint DLP, Netskope DLP, Palo Alto Networks Enterprise DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Trellix DLPTwo alternatives
Forcepoint DLP, Symantec Data Loss PreventionOne alternative
Google-native + third-party DLPGemini 3.5 FlashMicrosoft Purview DLPMicrosoft Purview DLPHeldMicrosoft Purview DLPMicrosoft Purview DLPno first choiceagainst: Forcepoint DLP, Symantec Data Loss Prevention, Trellix/McAfeeagainst: Fortra DLP, GTB, Netwrix Endpoint Protector, Safetica ONE, SearchInform, Symantec Data Loss Prevention, Trellix DLP
Five alternatives
Forcepoint DLP, Fortra DLP, Netskope DLP, Symantec Data Loss Prevention, Zscaler Cloud DLPFour alternatives
Digital Guardian, Forcepoint Enterprise DLP, Netskope Unified DLP, Symantec Data Loss PreventionSix alternatives
Broadcom (Symantec) Data Loss Prevention, Cyberhaven, Forcepoint DLP, Fortra DLP, Netskope DLP, Zscaler Internet AccessFour alternatives
CrowdStrike Falcon Data Protection, Cyberhaven, Netskope Cloud DLP, Zscaler Internet AccessPerplexity SonarMicrosoft Purview DLPMicrosoft Purview DLPHeldMicrosoft Purview DLPMicrosoft Purview DLPno first choiceagainst: BigID, Digital Guardian, Fortra DLP, Google Sensitive Data Protection, Microsoft Purview DLP, Netskope DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Zscaler Internet Access
Eight alternatives
Cyberhaven, Cyera, Forcepoint DLP, Mimecast Incydr, Netskope DLP, Proofpoint Enterprise DLP, Strac, Zscaler Internet AccessEight alternatives
Cyberhaven, DTEX, Forcepoint DLP, Fortra DLP, Netskope DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Zscaler Internet AccessNine alternatives
CrowdStrike Falcon Data Protection, Cyberhaven, Forcepoint DLP, Netskope DLP, Nightfall AI, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Trellix DLP, Zscaler Internet AccessTwo alternatives
Forcepoint DLP, Symantec Data Loss PreventionGrok 4.20Microsoft Purview DLPagainst: Symantec Data Loss PreventionMicrosoft Purview DLPHeldMicrosoft Purview DLP, Netskope One PlatformMicrosoft Purview DLPno first choiceagainst: Amazon Macie, Broadcom Layer7 API Gateway, Forcepoint DLP, Google DLP, McAfee DLP, Microsoft Purview DLP, Palo Alto Networks Prisma Access, Proofpoint Enterprise DLP, RSA, Symantec Data Loss Prevention, Trellix DLP, Zscaler Internet Access
Four alternatives
Forcepoint DLP, Netskope DLP, Palo Alto Networks Enterprise DLP, Zscaler Data Loss PreventionSix alternatives
Forcepoint DLP, Fortra DLP, Netskope DLP, Symantec Data Loss Prevention, Trellix DLP, Zscaler Internet AccessFour alternatives
Broadcom (Symantec) Data Loss Prevention, Forcepoint DLP, Proofpoint Enterprise DLP, Zscaler Internet AccessFour alternatives
Forcepoint DLP, Netskope DLP, Symantec Data Loss Prevention, Zscaler Internet AccessFive alternatives
Forcepoint DLP, Microsoft Purview DLP, Netskope DLP, Proofpoint Enterprise DLP, Zscaler Internet AccessMistral SmallMicrosoft Purview DLPno first choiceChangedno first choiceMicrosoft Purview DLPno first choiceagainst: Forcepoint DLP, Symantec Data Loss Prevention, Trellix DLP
Three alternatives
Forcepoint DLP, Palo Alto Networks Enterprise DLP, Symantec Data Loss PreventionTwo alternatives
Forcepoint DLP, Fortra DLPDeepSeek V4 FlashForcepoint DLP, Microsoft Purview DLPForcepoint DLPChangedno first choiceMicrosoft Purview DLPagainst: Forcepoint DLP, Netskope DLPno first choiceagainst: Acronis DeviceLock, Digital Guardian, Forcepoint DLP, Fortra DLP, McAfee DLP, Netskope DLP, Safetica ONE, Symantec Data Loss Prevention, Trellix DLP
Two alternatives
Proofpoint Enterprise DLP, Symantec Data Loss PreventionFour alternatives
Fortra DLP, Microsoft Purview DLP, Netskope DLP, Symantec Data Loss PreventionTwelve alternatives
Cyberhaven, Forcepoint DLP, Fortra DLP, Microsoft Purview DLP, Netskope DLP, Netskope One, Netwrix 1Secure, Netwrix Endpoint Protector, Nightfall AI, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Zscaler Internet AccessTwo alternatives
Cloudflare One DLP, Safetica ONELlama 4 MaverickMicrosoft Purview DLPMicrosoft Purview DLPHeldFortra DLPno first choiceno first choiceagainst: Microsoft Purview DLP, Symantec Data Loss Prevention, Trellix DLP
Two alternatives
Forcepoint DLP, Symantec Data Loss PreventionOne alternative
ManageEngine DataSecurity PlusQwen 3.7 FlashMicrosoft Purview DLPDigital GuardianChangedMicrosoft Purview DLPMicrosoft Purview DLP, Netskope DLPagainst: Forcepoint DLP, Symantec Data Loss Prevention, Trellix DLPno first choiceagainst: Digital Guardian, Forcepoint DLP, Symantec Data Loss Preventionagainst: Digital Guardian, Forcepoint One DLP, Palo Alto Networks Enterprise DLP, Symantec Data Loss Prevention
Seven alternatives
Cyberhaven, Digital Guardian, DoControl, Forcepoint DLP, Fortra DLP, Nightfall AI, Proofpoint Enterprise DLPThree alternatives
Microsoft Purview DLP, Netskope DLP, Symantec Data Loss PreventionFive alternatives
Cyberhaven, DoControl, Forcepoint DLP, Netskope DLP, Symantec Data Loss PreventionOne alternative
Acronis Cyber ProtectFour alternatives
Google DLP, Microsoft Purview DLP, Netskope DLP, Varonis Data Security PlatformKimi K2Netskope One Platform, Zscaler Internet AccessMicrosoft Purview DLPChangedForcepoint DLP, Symantec Data Loss Preventionagainst: Trellix DLPMicrosoft Purview DLPno first choiceagainst: Cyberhaven, Forcepoint DLPagainst: Forcepoint DLP, Microsoft Purview DLP, Symantec Data Loss Prevention
Three alternatives
Microsoft Purview DLP, Palo Alto Networks Enterprise DLP, Proofpoint Enterprise DLPTwo alternatives
Forcepoint DLP, Symantec Data Loss PreventionSix alternatives
CrowdStrike Falcon Data Security, Cyberhaven, Fortra DLP, Microsoft Purview DLP, Palo Alto Networks Enterprise DLP, Proofpoint Enterprise DLPOne alternative
Forcepoint DLPThree alternatives
CrowdStrike, Microsoft Purview DLP, Netskope DLPGLM 4.7 FlashXMicrosoft Purview DLPMicrosoft Purview DLPHeldno first choiceFortra DLP, Microsoft Purview DLPagainst: Symantec Data Loss Preventionno first choiceagainst: Blue Coat DLP, CA, EMC RSA DLP, McAfee DLP, Microsoft Purview DLP, Safetica ONE, Symantec Data Loss Prevention, Trellix DLP
Three alternatives
Forcepoint DLP, Symantec Data Loss Prevention, Teramind DLPFour alternatives
Forcepoint DLP, Palo Alto Networks Enterprise DLP, Symantec Data Loss Prevention, ZecurionTwelve alternatives
Cyberhaven, Cyera, DoControl, Forcepoint DLP, Fortra DLP, Microsoft Purview DLP, Netskope DLP, Netwrix 1Secure, Nightfall AI, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Zscaler Internet AccessOne alternative
Forcepoint DLPMiniMax M2.5no first choiceMicrosoft Purview DLP, Symantec Data Loss PreventionChangedno first choiceMicrosoft Purview DLPno first choiceagainst: Forcepoint DLP, Symantec Data Loss Prevention
Three alternatives
Forcepoint DLP, Netskope DLP, Proofpoint Enterprise DLPTwo alternatives
Forcepoint DLP, Symantec Data Loss PreventionFour alternatives
DoControl, Microsoft Purview DLP, Netskope DLP, Nightfall AIGPT-6 LunaNetskope DLPMicrosoft Purview DLPChangedMicrosoft Purview DLPagainst: Trellix DLPMicrosoft Purview DLPno first choiceagainst: Forcepoint DLP, Microsoft Purview DLP, Symantec Data Loss Prevention
Three alternatives
Forcepoint DLP, Microsoft Purview DLP, Proofpoint Enterprise DLPTwo alternatives
Forcepoint DLP, Netskope DLPFive alternatives
Forcepoint DLP, Netskope DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Zscaler Data Security / DLPOne alternative
Forcepoint DLPMuse Glimmer 30BNetskope DLP, Zscaler Internet AccessMicrosoft Purview DLPChangedForcepoint DLPMicrosoft Purview DLPagainst: Cyberhaven, Forcepoint DLP, Netskope DLP, Palo Alto Networks Enterprise DLP, Symantec Data Loss Prevention, Zscaler Internet Accessno first choiceagainst: Microsoft Purview DLP, Netskope DLP, Proofpoint Enterprise DLP, Symantec Data Loss Prevention, Zscaler Internet Access
Four alternatives
Forcepoint DLP, Fortra DLP, Microsoft Purview DLP, Symantec Data Loss PreventionFour alternatives
Forcepoint DLP, Netskope DLP, Nightfall AI, Symantec Data Loss PreventionFour alternatives
Fortra DLP, Microsoft Purview DLP, Proofpoint Enterprise DLP, Symantec DLP, BroadcomTwo alternatives
Proofpoint Enterprise DLP, Teramind DLPBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:37 | yes | 10 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 13:52 | yes | 6 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:29 | yes | 10 | 25 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 10:25 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 17:24 | yes | 10 | 12 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 13:15 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 13:04 | yes | 23 | 33 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 17:24 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 17:28 | yes | 10 | 37 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:45 | yes | 15 | 50 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:26 | yes | 14 | 28 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 17:07 | yes | 5 | 29 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 17:26 | yes | 4 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 16:09 | yes | 15 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 14:01 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:20 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 19:07 | no | 0 | 17 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 18:13 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:39 | yes | 5 | 9 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 18:17 | no | 0 | 2 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 18:05 | yes | 23 | 40 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 14:49 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 17:27 | no | 0 | 30 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:46 | yes | 13 | 23 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 15:04 | yes | 20 | 96 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 18:14 | yes | 9 | 36 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 17:56 | yes | 3 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:19 | yes | 12 | 19 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:45 | yes | 18 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 13:01 | yes | 7 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 17:31 | no | 0 | 21 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 11:08 | yes | 10 | 7 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 19:36 | yes | 10 | 14 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:19 | yes | 9 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:48 | yes | 23 | 45 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:13 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 18:06 | yes | 14 | 31 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 14:40 | yes | 24 | 72 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:05 | yes | 23 | 113 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 18:06 | yes | 18 | 40 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:01 | yes | 8 | 20 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 13:29 | yes | 13 | 37 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 16:39 | yes | 18 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:40 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:03 | yes | 5 | 17 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 16:09 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 18:31 | yes | 8 | 15 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:34 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:09 | yes | 21 | 23 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:44 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 13:19 | yes | 8 | 61 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 17:11 | yes | 19 | 26 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 16:08 | yes | 13 | 56 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 13:47 | yes | 11 | 40 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 18:55 | yes | 3 | 15 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 13:45 | yes | 17 | 22 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 13:56 | yes | 18 | 14 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:40 | yes | 4 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:37 | no | 0 | 18 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 19:37 | yes | 10 | 9 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:44 | yes | 10 | 15 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:30 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 08:59 | yes | 24 | 34 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 18:50 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 14:27 | no | 0 | 36 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 15:08 | yes | 25 | 41 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 13:03 | yes | 23 | 38 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 19:01 | yes | 15 | 42 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:14 | yes | 6 | 27 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 18:10 | yes | 14 | 28 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 17:24 | yes | 19 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 16:52 | yes | 5 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 08:50 | yes | 5 | 24 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 10:26 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:34 | yes | 25 | 38 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 15:23 | yes | 5 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 16:15 | yes | 25 | 58 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:38 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 15:53 | yes | 22 | 43 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:33 | yes | 24 | 53 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:01 | yes | 22 | 61 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:41 | yes | 24 | 56 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:09 | yes | 3 | 16 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 19:13 | yes | 25 | 33 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Broadcom read as Symantec Data Loss Prevention
Broadcom (Symantec DLP) read as Symantec Data Loss Prevention
Broadcom Symantec read as Symantec Data Loss Prevention
Check Point read as Check Point DLP
Forcepoint read as Forcepoint DLP
Fortra read as Fortra DLP
Fortra (Digital Guardian / Clearswift) read as Fortra DLP
Fortra (Digital Guardian) read as Fortra DLP
Fortra DLP – formerly Digital Guardian read as Fortra DLP
Fortra Digital Guardian read as Fortra DLP
Microsoft Purview read as Microsoft Purview DLP
Microsoft Purview (DLP) read as Microsoft Purview DLP
Microsoft Purview (formerly Microsoft 365 DLP) read as Microsoft Purview DLP
Microsoft Purview (formerly Microsoft 365 Defender) read as Microsoft Purview DLP
Netskope read as Netskope DLP
Netwrix read as Netwrix Endpoint Protector
Nightfall read as Nightfall AI
Palo Alto read as Palo Alto Networks Enterprise DLP
Palo Alto Networks read as Palo Alto Networks Enterprise DLP
Proofpoint read as Proofpoint Enterprise DLP
Safetica read as Safetica ONE
Symantec read as Symantec Data Loss Prevention
Symantec (Broadcom) read as Symantec Data Loss Prevention
Symantec/Broadcom read as Symantec Data Loss Prevention
Teramind read as Teramind DLP
Trellix read as Trellix DLP
Trellix (McAfee) DLP read as Trellix DLP
Trellix (formerly McAfee Enterprise DLP) read as Trellix DLP
Trellix Data Loss Prevention read as Trellix DLP
Trellix Data Loss Prevention (formerly McAfee Total Protection for DLP) read as Trellix DLP
Varonis read as Varonis Data Security Platform
Zscaler read as Zscaler Internet Access
Zscaler DLP read as Zscaler Internet Access
Zscaler Data Protection read as Zscaler Internet Access
Unresolved, counted raw
Acronis DLP
Blue Coat DLP
CA
Check Point Email DLP
Check Point or Palo Alto Networks Enterprise DLP
CrowdStrike Falcon Data Security
EMC RSA DLP
Forcepoint Enterprise DLP
Google-native + third-party DLP
NetScopes
Netskope One Platform
Netskope Unified DLP
Proofpoint Enterprise Data Loss Prevention
SearchInform
Specialized AI DLP
Symantec DLP, Broadcom
Zecurion
Zscaler Cloud DLP
Zscaler Data Loss Prevention
Zscaler Data Security / DLP
Zscaler Zero Trust Exchange Platform
Discontinued, still offered
No shut-down product was recommended here.